In the quest for operational efficiency, businesses are turning to data analytics solutions, harnessing the power of big data to streamline operations, predict future trends, and make informed ...

Odds are your business employs some method of operational analytics or uses another closely related method of data processing with a different name. Whether it’s called hybrid transaction and ...

A fundamental divide between data engineering and business analytics complicates how organizations operate in a rapidly evolving digital environment. Enterprises manage unprecedented volumes of ...

Online analytical processing (OLAP) databases are purpose-built for handling analytical queries. Analytical queries run on online transaction-processing (OLTP) databases often take a long time to ...

Hybrid transactional/analytical processing (HTAP), or hybrid operational analytical processing (HOAP), is the ability to perform real-time analysis on centralized ...

AI didn’t fix IT operations in 2025 — analytics capability did, exposing which CIOs could turn insight into action and which couldn’t. As CIOs have entered 2026 anticipating change and opportunity, it ...

Tableau, TIBCO Data Science, IBM and Sisense are among the best software for predictive analytics. Explore their features, pricing, pros and cons to find the best option for your organization.

Data is the foundational building block for most companies. Leaders won’t know how their company is doing or which growth strategies are most necessary if they can’t review recent data. Software makes ...

This collaboration combines OpenAI's reasoning models with Automation Anywhere's Process Reasoning Engine to deliver secure, deployable autonomous operations.

Setting the theater requires an analysis of the operational environment (OE) in which forces will operate to identify what is needed to execute operations within the theater. It is incumbent that ...